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Found 4 papers, 2 papers with code
Linear Discriminant Analysis with High-dimensional Mixed Variables
Datasets containing both categorical and continuous variables are frequently encountered in many areas, and with the rapid development of modern measurement technologies, the dimensions of these variables can be very high.
Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression
In this article we introduce a novel method which allows us to estimate the main effects and interactions separately.
Methodology
An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss
The estimation of high dimensional precision matrices has been a central topic in statistical learning.
Computation Methodology
A Direct Approach for Sparse Quadratic Discriminant Analysis
Formulated in a simple and coherent framework, DA-QDA aims to directly estimate the key quantities in the Bayes discriminant function including quadratic interactions and a linear index of the variables for classification.
